Standard
How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns. / Brandl, Stephanie; Cui, Ruixiang; Søgaard, Anders.
NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2022. p. 3624-3630.
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Brandl, S, Cui, R & Søgaard, A 2022,
How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns. in
NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), pp. 3624-3630, 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, United States,
10/07/2022.
https://doi.org/10.18653/v1/2022.naacl-main.265
APA
Brandl, S., Cui, R., & Søgaard, A. (2022).
How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns. In
NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 3624-3630). Association for Computational Linguistics (ACL).
https://doi.org/10.18653/v1/2022.naacl-main.265
Vancouver
Brandl S, Cui R, Søgaard A.
How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns. In NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2022. p. 3624-3630
https://doi.org/10.18653/v1/2022.naacl-main.265
Author
Brandl, Stephanie ; Cui, Ruixiang ; Søgaard, Anders. / How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns. NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2022. pp. 3624-3630
Bibtex
@inproceedings{4aa8878f9d9846cf8ace567389a589ca,
title = "How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns",
abstract = "Gender-neutral pronouns have recently been introduced in many languages to a) include non-binary people and b) as a generic singular. Recent results from psycholinguistics suggest that gender-neutral pronouns (in Swedish) are not associated with human processing difficulties. This, we show, is in sharp contrast with automated processing. We show that gender-neutral pronouns in Danish, English, and Swedish are associated with higher perplexity, more dispersed attention patterns, and worse downstream performance. We argue that such conservativity in language models may limit widespread adoption of gender-neutral pronouns and must therefore be resolved.",
author = "Stephanie Brandl and Ruixiang Cui and Anders S{\o}gaard",
note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022 ; Conference date: 10-07-2022 Through 15-07-2022",
year = "2022",
doi = "10.18653/v1/2022.naacl-main.265",
language = "English",
pages = "3624--3630",
booktitle = "NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
address = "United States",
}
RIS
TY - GEN
T1 - How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns
AU - Brandl, Stephanie
AU - Cui, Ruixiang
AU - Søgaard, Anders
N1 - Publisher Copyright:
© 2022 Association for Computational Linguistics.
PY - 2022
Y1 - 2022
N2 - Gender-neutral pronouns have recently been introduced in many languages to a) include non-binary people and b) as a generic singular. Recent results from psycholinguistics suggest that gender-neutral pronouns (in Swedish) are not associated with human processing difficulties. This, we show, is in sharp contrast with automated processing. We show that gender-neutral pronouns in Danish, English, and Swedish are associated with higher perplexity, more dispersed attention patterns, and worse downstream performance. We argue that such conservativity in language models may limit widespread adoption of gender-neutral pronouns and must therefore be resolved.
AB - Gender-neutral pronouns have recently been introduced in many languages to a) include non-binary people and b) as a generic singular. Recent results from psycholinguistics suggest that gender-neutral pronouns (in Swedish) are not associated with human processing difficulties. This, we show, is in sharp contrast with automated processing. We show that gender-neutral pronouns in Danish, English, and Swedish are associated with higher perplexity, more dispersed attention patterns, and worse downstream performance. We argue that such conservativity in language models may limit widespread adoption of gender-neutral pronouns and must therefore be resolved.
UR - http://www.scopus.com/inward/record.url?scp=85138426739&partnerID=8YFLogxK
U2 - 10.18653/v1/2022.naacl-main.265
DO - 10.18653/v1/2022.naacl-main.265
M3 - Article in proceedings
AN - SCOPUS:85138426739
SP - 3624
EP - 3630
BT - NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics
PB - Association for Computational Linguistics (ACL)
T2 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022
Y2 - 10 July 2022 through 15 July 2022
ER -
